Font Size: a A A

Clinical Application Of 64-slice CT In Solitary Pulmonary Nodules

Posted on:2008-04-21Degree:DoctorType:Dissertation
Country:ChinaCandidate:J Z GuanFull Text:PDF
GTID:1104360218958790Subject:Medical imaging and nuclear medicine
Abstract/Summary:PDF Full Text Request
Objective:To study the ability and value of post-processing technique and dynamic-enhanced scans of 64-slice spiral CT in the detecting of the morphological signs of solitary pulmonary nodules (SPNs). To assess the diagnostic value of Fisher discriminant with combination of morphological and hemodynamic findings of SPN. Materials and methods:The routine chest scans and dynamic-enhanced scans were studied with 64-slice spiral CT scanner in ninety-six patients with SPN. Based on the routine scans, thin-slice transversal reconstructions, multi-planar reconstruction (MPR) and volume rendering (VR) of SPNs were obtained. The continuous dynamic CT image parameters of SPNs were analyzed by Dyna software and Bodyperfusion software. The morphological signs and hemodynamic parameters with significant difference between benign and malignant SPNs were picked out, Fisher discrimiant was applied to assess the SPNs. Results:Thin-slice reconstruction, MPR and VR provided higher detecting rate of lung cancer signs than routine axial images. The enhancement values, the perfusion values, blood flow (BF), and blood volue (BV) of malignant SPNs and benign SPNAs were significantly higher than that benign SPNBs. The accuracy and specificity of Fisher discriminant in distinguishing the nature of SPNs were higher than that of morphological diagnosis and enhancement threshold discriminant. Conclusion:Based on the routine scans, post-processing technique and dynamic-enhanced CT could help differentiate the nature of SPNs. Fisher discriminant improve the accuracy and specificity in distinguishing the nature of SPNs.
Keywords/Search Tags:Solitary pulmonary nodules, Dynamic-enhanced, Tomography,X-ray Computed, Fisher discriminant
PDF Full Text Request
Related items